PostgreSQL Maestro

PostgreSQL Maestro

SQL Maestro
python-sql

python-sql

Python Software Foundation

About

HeidiSQL is free software, and has the aim to be easy to learn. "Heidi" lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. Invented in 2002 by Ansgar, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide. Free for everyone, OpenSource. Connect to multiple servers in one window. Supported database systems: MariaDB, MySQL, MS SQL, PostgreSQL and SQLite. Connect to servers via commandline. Connect via SSH tunnel, or pass SSL settings. Create and edit tables, views, stored routines, triggers and scheduled events. Generate nice SQL-exports, compress these afterwards, or put them on the clipboard. Export from one server/database directly to another server/database. Manage user-privileges, import text-files, export table rows as CSV, HTML, XML, SQL, LaTeX, Wiki Markup and PHP Array. Browse and edit table-data using a comfortable grid.

About

Complete and powerful database management, admin, and development tool for PostgreSQL. Browse, create, edit, duplicate, rename, and drop all schema objects like tables, views, functions, or triggers in the simplest way possible. Simplify your data modeling tasks. Create tables and relations in a few mouse clicks. Print diagrams or export them to a number of graphical file formats. Browse, edit, print, sort, group, and filter your data using a wide spectrum of available tools including master-detail views. Build graphical diagrams and OLAP cubes. Enjoy a feature-rich SQL Editor with code completion, code folding, and SQL formatted, or build your queries visually. Export your data to as many as 20 most popular file formats or import data from Excel, CSV, XML and other files. Make your server safe and secure with powerful tools provided by PostgreSQL Maestro. Split denormalized tables, generate DML procedures or updatable views, and check nullable columns with a few mouse clicks.

About

SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool. It is written in Java and should run on any operating system that provides a Java Runtime Environment. Its main focus is on running SQL scripts (either interactively or as a batch) and export/import features. Graphical query building or more advanced DBA tasks are not the focus and are not planned. Powerful export command to write text files (aka "CSV"), XML, HTML or SQL (including BLOB data). All user tables can be exported into a directory with a single command. Export files can be compressed "on-the-fly". Powerful text, XML and spreadsheet import. A set of files (including compressed files) can be imported from a directory with a single command. Foreign key constraints are detected to insert the data in the correct order. Compare two database schemas for differences. The XML output can be transformed into the approriate SQL ALTER statements using XSLT.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers who want a free database manager solution to see and edit data and structures from computers running a database system

Audience

Developers seeking a tool to create tables and databases to analyze, browse, edit, duplicate, rename and drop schema objects

Audience

Enterprises interested in a SQL query tool to run SQL scripts and export/import features

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$0
Free Version
Free Trial

Pricing

$99 one-time payment
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

HeidiSQL
Founded: 2002
Germany
www.heidisql.com

Company Information

SQL Maestro
Founded: 2002
United States
www.sqlmaestro.com/products/postgresql/maestro/

Company Information

SQL Workbench
Founded: 2020
www.sql-workbench.eu/

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

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Categories

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

Digna
Domino Enterprise MLOps Platform
Firebird
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
Python
QueryPie
SQL Server
SQLite
XML

Integrations

Digna
Domino Enterprise MLOps Platform
Firebird
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
Python
QueryPie
SQL Server
SQLite
XML

Integrations

Digna
Domino Enterprise MLOps Platform
Firebird
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
Python
QueryPie
SQL Server
SQLite
XML

Integrations

Digna
Domino Enterprise MLOps Platform
Firebird
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
Python
QueryPie
SQL Server
SQLite
XML
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